How to infer grid-cell-like coding from right entorhinal fMRI: estimate a hidden grid orientation, test hexadirectional modulation out-of-sample, and rule out confounds.
May 14, 2026
Experimental work shows that grid fields are not rigidly universal: trapezoids and other environmental deformations can stretch, rotate, and locally warp the grid pattern.
May 13, 2026
A theory-only demo showing the firing map generated by three-wave interference and the corresponding spatial autocorrelogram.
May 13, 2026
Extend the oscillatory-interference picture to multiple waves by fixing the movement direction and projecting velocity onto each preferred direction through cos(theta_i).
May 12, 2026
A first note on oscillatory interference when motion is aligned with a wave's preferred direction, and why the resulting firing spacing becomes a cell-specific constant.
May 12, 2026
A first dynamic demo: steer a rat through a 2x2 arena, watch phase-driven waves evolve, and accumulate a fading grid-cell firing map.
May 12, 2026
Accepted at ICML 2026. HelioX is a GPU-native framework for simulation and training of biophysically detailed neural networks. It targets the mismatch between irregular dendritic computation and conventional deep learning stacks, and provides an end-to-end pipeline for both forward simulation and gradient-based training. Highlights: Multi-stream GPU execution for ionic current calculation, ODE construction, and conductance update Efficient spike handling path designed for sparse spike events End-to-end differentiable training for deep biophysical neural architectures Strong runtime and scalability gains over traditional simulators in large-scale settings
May 10, 2026
A compact reflection on how biological circuit ideas can guide robust AI model design.
Mar 12, 2026